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Active Learning Performance in Labeling Radiology Images Is 90% Effective
To train artificial intelligence (AI) systems on radiology images, an image labeling step is necessary. Labeling for radiology images usually involves a human radiologist manually drawing a (polygonal) shape onto the image and attaching a word to it. As datasets are typically large, this task is rep...
| Autores principales: | , , , , |
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| Formato: | Online Artículo Texto |
| Lenguaje: | English |
| Publicado: |
Frontiers Media S.A.
2021
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| Materias: | |
| Acceso en línea: | https://www.ncbi.nlm.nih.gov/pmc/articles/PMC10365082/ https://www.ncbi.nlm.nih.gov/pubmed/37492167 http://dx.doi.org/10.3389/fradi.2021.748968 |